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# Ollama
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[![Discord ](https://dcbadge.vercel.app/api/server/ollama?style=flat&compact=true )](https://discord.gg/ollama)
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Create, run, and share large language models (LLMs). Ollama bundles a model’ s weights, configuration, prompts, and more into self-contained packages that can run on any machine.
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> Note: Ollama is in early preview. Please report any issues you find.
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## Download
- [Download ](https://ollama.ai/download ) for macOS on Apple Silicon (Intel coming soon)
- Download for Windows and Linux (coming soon)
- Build [from source ](#building )
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## Quickstart
To run and chat with [Llama 2 ](https://ai.meta.com/llama ), the new model by Meta:
```
ollama run llama2
```
## Model library
Ollama includes a library of open-source, pre-trained models. More models are coming soon. You should have at least 8 GB of RAM to run the 3B models, 16 GB to run the 7B models, and 32 GB to run the 13B models.
| Model | Parameters | Size | Download |
| ------------------------ | ---------- | ----- | --------------------------- |
| Llama2 | 7B | 3.8GB | `ollama pull llama2` |
| Llama2 13B | 13B | 7.3GB | `ollama pull llama2:13b` |
| Orca Mini | 3B | 1.9GB | `ollama pull orca` |
| Vicuna | 7B | 3.8GB | `ollama pull vicuna` |
| Nous-Hermes | 13B | 7.3GB | `ollama pull nous-hermes` |
| Wizard Vicuna Uncensored | 13B | 7.3GB | `ollama pull wizard-vicuna` |
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## Examples
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### Run a model
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```
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ollama run llama2
>>> hi
Hello! How can I help you today?
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```
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### Create a custom character model
Pull a base model:
```
ollama pull orca
```
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Create a `Modelfile` :
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```
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FROM orca
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PROMPT """
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### System:
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You are Mario from Super Mario Bros. Answer as Mario, the assistant, only.
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### User:
{{ .Prompt }}
### Response:
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"""
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```
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Next, create and run the model:
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```
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ollama create mario -f ./Modelfile
ollama run mario
>>> hi
Hello! It's your friend Mario.
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```
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For more info on `Modelfile` syntax see [this doc ](./docs/modelfile ).
### Pull a model from the registry
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```
ollama pull nous-hermes
```
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## Building
```
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go build .
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```
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To run it start the server:
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```
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./ollama serve &
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```
Finally, run a model!
```
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./ollama run llama2
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```